NVIDIA Dramatically Accelerates the Search for a Cure

Stanford University's distributed computing program Folding@home has become a major force in researching cures to life-threatening diseases such as cancer, cystic fibrosis, and Parkinson's disease by combining the computing horsepower of millions of processors to simulate protein folding. The Folding@home project is the latest example in the expanding list of non-gaming applications for graphics processing units (GPU). By running the Folding@home client on an NVIDIA® GeForce® GPU, protein-folding simulations can be done 140 times faster than on some of today's traditional CPUs.

"The impact of GeForce GPUs on protein folding simulations was immediate and dramatic," said Vijay Pande, associate professor of chemistry, Stanford University and director of the Folding@home project. "Teams that are folding with GeForce GPUs are seeing their production skyrocket. Applying that kind of processing power to Folding@home changes the whole dynamic of the project and could significantly reduce the time it takes to carry out our biomedical research."

The Folding@home project has amassed a large following of computer enthusiasts who compete in teams to churn through as many data units as possible. Their unofficial stats are organised by and displayed at ExtremeOverclocking.com. It took the NVIDIA internal folding team only two weeks to move ahead of 90% of all teams, using only 10 machines. After expanding the team to include more GPUs, the NVIDIA team has moved inside the top 0.1% of teams in all-time total production in less than a month.

Other folding teams are also seeing their status rise as a result of the NVIDIA Folding@home client.

"We saw the completed work double for our PC Games Hardware Folding team as a result of many team members installing the NVIDIA Folding client," said Carsten Spille, editor at PC Games Hardware. "We are passing many teams every day and we have finally reached our goal of being one of the top 100 folding teams in the world."

Protein Folding
Proteins assemble themselves through a process biologists call "folding". The goal of the Folding@home project is to understand protein folding, misfolding, and related diseases. Folding@home simulates protein folding in order to understand how proteins fold so quickly and reliably and to learn about what happens when proteins do not fold correctly. Diseases such as Alzheimer's disease, cystic fibrosis, BSE (Mad Cow disease), an inherited form of emphysema, and many cancers are believed to result from protein misfolding.

About NVIDIA
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce products, the professional design and visualisation market with its Quadro® products, and the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, California, and has offices throughout Asia, Europe, and the Americas. NVIDIA's inaugural NVISION 08 conference will be held August 25-27, 2008 in San Jose, California. For more information, visit www.nvidia.co.uk and www.nvision2008.com.

Most Popular Now

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...